Genomic instability in primary HCC and corresponding lung metastasis
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
SUBMITTER: Vendula Svendova
PROVIDER: E-GEOD-84977 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:X-CGD (X-linked chronic granulomatous disease) patient derived CD34+ cells were reprogrammed into two X-CGD iPSC clones (7 and 25) and subsequently corrected using ZFN (clone 7) and TALEN (clone 25) by integrating a therapeutic gp91phox expression cassette into the AAVS1 "safe harbor" locus Three condition experiment: before and after reprogramming and before and after genome editing.
2015-02-28 | E-GEOD-66337 | biostudies-arrayexpress
Project description:Cells of the osteoblast lineage affect homing, number of long term repopulating hematopoietic stem cells (HSCs) HSC mobilization and lineage determination and Blymphopoiesis . More recently osteoblasts were implicated in pre-leukemic conditions in mice. Yet, it has not been shown that a single genetic event taking place in osteoblastscan induce leukemogenesis. We show here that in mice, an activating mutation of β-catenin leading to development of acute myeloid leukemia (AML) with common chromosomal aberrationsand cell autonomous progression. Activated β-catenin stimulates expression of the Notch ligand Jagged-1 in osteoblasts. Subsequent activation of Notch signaling in HSCprogenitors induces the malignant changes. Demonstrating the pathogenetic role of theNotch pathway, genetic or pharmacological inhibition of Notch signaling ameliorates AML. Nuclear accumulation and increased β-catenin signaling in osteoblasts was also identified in 38% ofpatients with MDS/AML. These patients showed increased Notch signaling in hematopoietic cells. These findings demonstrate that genetic alterations in osteoblasts can induce AML, identify molecular signals leading to this transformation and suggest a potential novel pharmacotherapeuticapproach to AML. The present entry describes a comparison of copy numbers of DNA from βcat(ex3)osb mice from the mouse spleen with that of WT (C57BL/J Mice) mice. DNA from spleen myeloid cells from βcat(ex3)osb mice and WT mice were hybridized to Agilent CGH 244A arrays. DNA from spleen myeloid cells from βcat(ex3)osb mice in C57BL/J background was labeled with red dye. DNA from spleen myeloid cells from WT (C57BL/J) mice were labeled with green dye. There were five arrays with DNA from 1 mouse of each genotype per array.
2014-01-21 | E-GEOD-51690 | biostudies-arrayexpress
Project description:Copy number variation analysis between BJ cells and BJ cells derived iPS cells which were established by using non-transmissible measles virus vector DNA derived from BJ cell and iPS cells were extracted and analysis using CGH array
2016-06-22 | E-GEOD-79604 | biostudies-arrayexpress
Project description:Copy number alteration (CNA) is a good signpost to identify cancer related genes. CNAs were analyzed using the Agilent 400K array comparative genomic hybridization (aCGH) in fresh-frozen tumor and matched normal tissues from 30 gastric cancer patients. Whole genomic CNAs in 30 human gastric cancers were analyzed using the Agilent aCGH-400K arrays. Matched normal tissues were used as the reference.
2015-05-28 | E-GEOD-69266 | biostudies-arrayexpress
Project description:Currently there is no treatment for mitochondrial disease, a group of devastating inherited disorders caused by mutations in mitochondrial DNA (mtDNA). Here we report a strategy to prevent the germline transmission of mitochondrial diseases. This technique is based on the specific elimination of mutated mtDNA through the use of mitochondria targeted nucleases. Our approaches represent a potential therapeutic avenue for preventing the transgenerational transmission of human mitochondrial diseases caused by mutations in mtDNA. A total of 4 samples were analyzed. Test samples were compared to sex-matched reference samples.
2015-04-23 | E-GEOD-67371 | biostudies-arrayexpress
Project description:Establishment and subsequent validation of a aCGH protocol for WGA (whole genome amplification) products originating from single cell or low amount of starting material (i.e. microdissected FFPE tissue samples). The establishment of the protocol involved testing of three DNA labeling protocols. Two labeling protocols were designed specifically for Ampli1(TM) WGA products. Additionally random primed isothermal (Klenow-based) labeling approach was tested (MM-CM-6hlendick et al., PLoS One. 2013 Jun 25;8(6):e67031.). In addition two different types of reference samples were tested and reference based on single-cell WGA products was chosen as most suitable in the end. The validation of the protocol assessed the following aspects: (1) performance of the protocol on primary and reamplified WGA products, (2) accuracy of the protocol in term of sensitivity of the CNA detection, (3) accuracy in terms of recapitulation of complex patterns of CNAs, (4) accuracy in terms of quantitative assessment of the CNAs, (5) ability to detect genomic heterogeneity of single cells (obtained either from in vitro cultures or from clinical patient material), (6) ability to detect minimal regions of aberration within a panel of disseminated cancer cells and corresponding tumor tissues. Establishment and validation of the single-cell aCGH protocol: two condition experiment (i.e. PCR-based labeling technique 1 vs. PCR-based labeling technique 2; PCR-based labeling technique 2 vs. random-primed isothermal (Klenow) labeling approach; reference DNA from cell pool WGA product vs. reference DNA from single-cell WGA products). Validation of the protocol: comparison of the CNA profiles between single-cell WGA products and corresponding bulk DNA. Analysis of the DCC and corresponding FFPE tumor tissue samples: single-condition experiment performed on samples collected at different stages of the disease (DCCs from bone marrow) and/or from different sites (primary tumor-breast; metastasis-lymph nodes; DCCs-bone marrow). Microarray data is corresponding data depicted in the paper manuscript titled: Reliable single cell array CGH for clinical samples
2014-01-21 | E-GEOD-52366 | biostudies-arrayexpress
Project description:About 230 clinical trials currently explore the role of circulating tumor cell (CTC) analysis for therapy decisions, but no assays enable comprehensive molecular characterization of CTCs with diagnostic precision. We therefore combined a workflow for CTC enrichment and isolation with 100% purity with a non-random whole genome amplifiation method for single cells and applied it to 510 single CTCs and 189 leukocytes of 66 breast cancer patients. We defined a genome integrity index (GII) to identify cells suited for molecular chracterization by different molecular assay in more than 90% of single cells, such as diagnostic profiling for point mutations, gene amplifications and whole genomes of single cells. The high reliability on clinical samples enabled assessing the molecular heterogeneity of single CTCs of metastatic breast cancer patients. We readily identified therapeutically relevant genomic disparity between primary tumors and CTCs. Microheterogeneity analysis among individual CTCs uncovered preexisting cells reistsant to ERBB2 targeted therapies suggesting ongoing microevolution at late stage disease whose exploration may provide essential information for personalized treatment decisions. The analysis aimed to indentify profiles of copy number changes in genomic DNA of single circulating tumor cells (CTCs). For this, CTCs were enrched using the FDA approved CellSearch System and single-cell were isolated using the DEPArray System. Subsequently, single-cell DNA was amplified using the Ampli1 WGA Kits and subjected to single-cell aCGH analysis according to previously published protocol (Czyz ZT et al., PLoS One. 2014 Jan 21;9(1):e85907). The analysis included 38 single CTCs and 10 white blood cells (WBCs) obtained from 16 breast cancer patient. WBCs were used as controls for the analysis. In addition, four CTC cell pools were included in the analysis. This was done to show the discrepancies between the profiles of individual cells and corresponing average genomic profile of CTCs in a patient material (cell pools), thereby demonstrating the importance of the analysis on the cell-by-cell basis. The reference sample used for all aCGH experiments consisted of a pool of four single-cell WGA products generated from WBCs of a healthy female donor.
2014-11-05 | E-GEOD-58192 | biostudies-arrayexpress
Project description:Bone is the most frequent site of metastasis in prostate cancer (PCa) and patients with bone metastases are deemed incurable. Targeting prostate cancer cells that disseminated to the bone marrow (BM) prior to surgery and before metastatic outgrowth may therefore prevent lethal metastasis. This prompted us to directly analyse the transcriptome of disseminated cancer cells (DCC) isolated from non-metastatic (UICC stage M0) prostate cancer patients. We screened 105 BM samples of M0-stage prostate cancer patients and 18 BM samples of patients without malignancy for the presence of EpCAM+ single cells. In total we isolated 270 cells from both groups by micromanipulation and globally amplified their mRNA. We used targeted transcriptional profiling to unambiguously identify DCCs for subsequent in-depth analysis. Transcriptomes of all cells were examined for the expression of EPCAM, KRT8, KRT18, KRT19, KRT14, KRT6a, KRT5, KLK3 (PSA), MAGEA2, MAGEA4, PTPRC (CD45), CD33, CD34, CD19, GYPC, SCL4A1 (band 3), and HBA2. Using these transcripts we found it impossible to reliably identify true DCCs. We then applied combined genome and transcriptome analysis of single cells and found that EpCAM+ cells from controls expressed transcripts thought to be epithelial-specific, while true DCCs may express haematopoietic transcripts. These results point to an unexpected plasticity of epithelial cancer cells in bone marrow and question common transcriptional criteria to identify DCCs. Array-CGH was used to analyze EpCAM-positive single cells isolated from bone marrow of M0-stage prostate cancer patients, and individuals without cancer. The purpose was to demonstrate that cells with genomic aberrations are true tumour cells.
2014-10-20 | E-GEOD-59631 | biostudies-arrayexpress
Project description:Array CGH analysis in order to determine the size of atypical NF1 deletions under investigation 12 atypical NF1 deletions were investigated with the custom array CGH
2014-05-29 | E-GEOD-57859 | biostudies-arrayexpress
Project description:In this study, 19 tumor samples from patients with renal cell carcinoma (RCC)-end-stage renal disease (ESRD) were analyzed by array comparative genomic hybridization (array CGH) using the Agilent Whole Human Genome 4× Array. 19 cystic disease samples from patients with RCC-ESRD
2012-04-01 | E-GEOD-33117 | biostudies-arrayexpress